Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data
Joint Authors
Castañeda-Miranda, Alejandro
Icaza-Herrera, M. de
Castaño, Víctor M.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The temperature readings for all the 365 days and the 24 hours may be fitted through a 3 × 3 matrix (the so-called T-matrix).
The mean square deviation between this fit and the actual meteorological measurements is smaller than three degrees Celsius.
Four entries of this (nonsymmetric) matrix may be fixed by other means, leaving only five independent components.
However, the same method applied to the humidity measurements produces a larger mean square deviation.
A strong stochastical connection is found between the T-temperature matrix and the U-humidity matrix.
The computer program, in C, may be used to adjust a (2M + 1) × (2m + 1) matrix simply by changing the arguments at the command line and has been tested with m and M ranging from zero to 11 (eleven) (more than 24 readings per day are necessary for larger values of m).
The physical meaning of these constants is given only in the case m = M = 1.
Our results have also been connected to fundamental cosmological properties: Earth’s orbit, the ecliptic angle, and the latitude of Querétaro (or whatever geographical location is chosen).
A separate program calculates the angular position of the Sun as measured in the sky of Querétaro, to determine the length of the day or the mean value of the solar cosine.
This work introduces several new variables which happen to be stochastically connected.
American Psychological Association (APA)
Castañeda-Miranda, Alejandro& Icaza-Herrera, M. de& Castaño, Víctor M.. 2019. Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data. Advances in Meteorology،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1118650
Modern Language Association (MLA)
Castañeda-Miranda, Alejandro…[et al.]. Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data. Advances in Meteorology No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1118650
American Medical Association (AMA)
Castañeda-Miranda, Alejandro& Icaza-Herrera, M. de& Castaño, Víctor M.. Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data. Advances in Meteorology. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1118650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118650